VAT Liquidity Builder for Order Execution
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Solution Overview
Problem
Retail investors face challenges in executing large orders due to high frequency trading, while institutional investors lack incentives to participate with retail investors, leading to liquidity issues across alternative trading systems.
Innovation Solution
A Volume Attentive Trade (VAT) Liquidity Builder system that aggregates and coordinates retail and institutional orders, prioritizing large orders and maintaining confidentiality to avoid market disruption, using a dynamic platform that continuously compares and matches orders to facilitate efficient trade execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If retail investors place large orders publicly, then they can execute trades, but high frequency traders detect and front-run these orders, resulting in worse execution prices
Solution Approach 1:
The patent introduces an intermediary system (the trading platform with volume analysis algorithms) that mediates between retail investors and high frequency traders. This intermediary detects large order patterns and strategically routes them through multiple mechanisms (dark pools, fragmented execution, timing optimization) to prevent front-running while maintaining execution capability
Solution Approach 2:
The system segments large retail orders into multiple smaller component orders that are executed separately through different channels and time periods. This segmentation prevents high frequency traders from detecting the full order size and front-running the entire position, while still achieving complete execution over time
2Reliability
If retail investors split large orders into smaller orders, then they avoid detection by high frequency traders, but they experience timing issues and lose preferred trading prices
Solution Approach 1:
The system employs feedback mechanisms where volume analysis algorithms continuously monitor market conditions, order execution results, and price movements. This feedback enables dynamic adjustment of subsequent order routing decisions, timing strategies, and segmentation patterns to optimize both confidentiality and execution timing based on real-time market state
Solution Approach 2:
The patent implements dynamic order execution strategies that adapt to changing market conditions. The system dynamically adjusts order timing, routing choices, and segmentation patterns based on real-time volume analysis, market depth, and price movements, rather than using static predetermined splitting schedules
3Reliability
If institutional investors trade on alternative trading systems, then they can execute large orders confidentially, but liquidity is reduced across the system
Solution Approach 1:
The patent creates a universal trading platform that serves multiple functions and participant types simultaneously. It handles both retail and institutional orders, provides both public and confidential execution pathways, and maintains liquidity across multiple venues while enabling confidential large-order execution through coordinated multi-venue routing
4Productivity
If high frequency traders offer slightly better prices to front-run retail orders, then they execute their trades first, but this creates a race condition that increases market volatility
Solution Approach 1:
The system performs preliminary analysis of order characteristics, volume patterns, and market conditions before execution. By pre-identifying large retail orders and pre-planning execution strategies (routing to dark pools, fragmenting orders, selecting optimal timing), it prevents the race condition from developing in the first place, thereby maintaining price stability while still enabling efficient execution
Data Source
AI summary
Systems and methods are described for aggregating and filling Volume Attentive Trade (VAT) orders using a VAT Liquidity Builder. As described, in various aspects a first grouping of VAT orders may be aggregated by the VAT Liquidity Builder. A second grouping of VAT orders may also be aggregated by the VAT Liquidity Builder. Each of the VAT orders for the first and second groups may each include a set of VAT rules that define a limit price, a share quantity and a VAT delta. The VAT Liquidity Builder may then generate an effective limit price for each of the first group of VAT orders using the corresponding limit prices and VAT deltas, and generate an execution command to fill a particular VAT order having the largest share quantity from the second group of VAT orders with one or more qualifying VAT orders from the first group.